Pages that link to "Item:Q2180502"

The following pages link to Artificial neural networks in structural dynamics: a new modular radial basis function approach vs. convolutional and feedforward topologies (Q2180502):

Displaying 16 items.

• Application of ANN techniques for estimating modal damping of impact-damped flexible beams (Q833620) (← links)
• Design of structural modular neural networks with genetic algorithm (Q1860312) (← links)
• Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis (Q2060129) (← links)
• A novel sensitivity index for analyzing the response of numerical models with interval inputs (Q2083138) (← links)
• Physics-based self-learning recurrent neural network enhanced time integration scheme for computing viscoplastic structural finite element response (Q2096901) (← links)
• Residual stresses in gas tungsten arc welding: a novel phase-field thermo-elastoplasticity modeling and parameter treatment framework (Q2115595) (← links)
• A radial basis function artificial neural network (RBF ANN) based method for uncertain distributed force reconstruction considering signal noises and material dispersion (Q2180472) (← links)
• Data-driven spatiotemporal modeling for structural dynamics on irregular domains by stochastic dependency neural estimation (Q2678544) (← links)
• Applications of Artificial Neural Networks for Periodic Structures Analysis (Q3177563) (← links)
• Recurrent and convolutional neural networks in structural dynamics: a modified attention steered encoder-decoder architecture versus LSTM versus GRU versus TCN topologies to predict the response of shock wave-loaded plates (Q6084770) (← links)
• A machine learning-based viscoelastic-viscoplastic model for epoxy nanocomposites with moisture content (Q6096512) (← links)
• Residual neural network-based observer design for continuous stirred tank reactor systems (Q6144078) (← links)
• EMR-SSM: synchronous surrogate modeling-based enhanced moving regression method for multi-response prediction and reliability evaluation (Q6203000) (← links)
• Machine learning based topology optimization of fiber orientation for variable stiffness composite structures (Q6554029) (← links)
• A thermodynamically consistent physics-informed deep learning material model for short fiber/polymer nanocomposites (Q6557800) (← links)
• A generative learning and graph-based framework for computing field variables in finite element simulations (Q6566095) (← links)